# Workable Jobs Scraper (`oguzcankaraman/workable-jobs-scraper`) Actor
Extract every job posting from any company's Workable career site (apply.workable.com). Clean normalized output with full descriptions, parsed salaries, locations, and apply URLs. Supports multiple companies per run.
- **URL**: https://apify.com/oguzcankaraman/workable-jobs-scraper.md
- **Developed by:** [Oğuzcan Karaman](https://apify.com/oguzcankaraman) (community)
- **Categories:** Jobs, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet
## Pricing
from $2.00 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## Workable Jobs Scraper
Extract **every job posting from any company that hires through Workable** — in seconds, with clean, normalized, analysis-ready output. No API keys, no setup: paste a company's career-site URL (like `apply.workable.com/netguru`) or its account name and run.
Thousands of companies publish their jobs on Workable career sites. This Actor turns those career pages into structured data using the same public endpoints the pages themselves use — fast, reliable, no anti-bot issues.
### What you get
Every job is returned in a **normalized schema** shared by all my ATS scrapers (SmartRecruiters, BambooHR, Recruitee, …), so you can combine sources without any mapping work:
- ✅ **Full job description** (plain text *and* HTML) — description, requirements, benefits
- ✅ **Parsed salary** — min/max, currency, and pay period extracted from the job ad (e.g. `PLN 7 700 - 12 000` → structured values)
- ✅ **Structured location** — city, region, country code, and a reliable `remote` flag (from Workable's own workplace field)
- ✅ Department, employment type, posting language, published date
- ✅ Direct **posting URL and apply URL** for every job
- ✅ **Multiple companies in one run**, automatic deduplication
- ✅ Server-side **keyword search** (Workable's own full-text search)
### Use cases
- **Job boards & aggregators** — keep listings fresh without maintaining scraping infra
- **Recruiting & talent intelligence** — track who is hiring, where, and for what
- **Sales lead generation** — companies hiring for role X are buying tools for X
- **Salary benchmarking** — structured pay data straight from job ads
- **AI agents & LLM pipelines** — clean JSON that slots directly into RAG or agent tools
### Input
```json
{
"companies": ["https://apply.workable.com/netguru/", "blueground"],
"keyword": "engineer",
"location": "remote",
"postedAfter": "2026-06-01",
"includeFullDescription": true,
"maxJobsPerCompany": 500
}
````
### Output example
```json
{
"id": "63B101859E",
"source": "workable",
"title": "Project Manager",
"company": { "identifier": "netguru", "name": null },
"location": { "city": null, "region": null, "country": "PL", "remote": true },
"department": "Netguru",
"employmentType": "Full-time",
"salary": { "min": 7700, "max": 12000, "currency": "PLN", "period": "month", "raw": "PLN 7 700 - 12 000" },
"postedAt": "2026-07-02T00:00:00.000Z",
"postingUrl": "https://apply.workable.com/netguru/j/63B101859E/",
"applyUrl": "https://apply.workable.com/netguru/j/63B101859E/apply/",
"descriptionText": "...",
"descriptionHtml": "..."
}
```
Download results as **JSON, CSV, Excel, or XML**, or fetch them via the [Apify API](https://docs.apify.com/api/v2), scheduled runs, and webhooks.
### How to find a company's account name
Open the company's careers page. If the URL looks like `https://apply.workable.com/netguru/`, the account name is `netguru`. You can paste the full URL as well — the Actor extracts it automatically.
### FAQ
**Is this legal?** The Actor only collects publicly available job postings that companies intentionally publish to attract applicants. No personal data is collected.
**A company returns "not found" — why?** The account name is wrong (check the careers-page URL) or the company no longer hires through Workable.
**Need SmartRecruiters, BambooHR, Recruitee, or another ATS?** Check my profile — all my ATS scrapers share the exact same output schema.
# Actor input Schema
## `companies` (type: `array`):
Workable account names (e.g. netguru) or career-site URLs (e.g. https://apply.workable.com/netguru/). One entry per company.
## `keyword` (type: `string`):
Optional full-text search query applied on the Workable side (job title and description), e.g. engineer.
## `location` (type: `string`):
Optional case-insensitive filter matched against city, region, and country of each posting, e.g. Berlin, pl, remote.
## `postedAfter` (type: `string`):
Only include jobs published on or after this date (YYYY-MM-DD).
## `includeFullDescription` (type: `boolean`):
Fetch the full job ad (description, requirements, benefits) for every posting. Enables salary parsing. Slightly slower because it makes one extra request per job.
## `maxJobsPerCompany` (type: `integer`):
Stop after this many jobs per company. Use 0 for unlimited.
## Actor input object example
```json
{
"companies": [
"netguru"
],
"includeFullDescription": true,
"maxJobsPerCompany": 0
}
```
# Actor output Schema
## `jobs` (type: `string`):
All scraped job postings in the normalized schema: title, company, location, department, employment type, parsed salary, posting/apply URLs, and full description.
## `jobsCsv` (type: `string`):
The same dataset as CSV, ready for Excel or Google Sheets.
## `run` (type: `string`):
Public link to this run with logs and statistics.
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"companies": [
"netguru"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("oguzcankaraman/workable-jobs-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "companies": ["netguru"] }
# Run the Actor and wait for it to finish
run = client.actor("oguzcankaraman/workable-jobs-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"companies": [
"netguru"
]
}' |
apify call oguzcankaraman/workable-jobs-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=oguzcankaraman/workable-jobs-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Workable Jobs Scraper",
"description": "Extract every job posting from any company's Workable career site (apply.workable.com). Clean normalized output with full descriptions, parsed salaries, locations, and apply URLs. Supports multiple companies per run.",
"version": "0.1",
"x-build-id": "i5kZrjsLsGfvOiVgB"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/oguzcankaraman~workable-jobs-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-oguzcankaraman-workable-jobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/oguzcankaraman~workable-jobs-scraper/runs": {
"post": {
"operationId": "runs-sync-oguzcankaraman-workable-jobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/oguzcankaraman~workable-jobs-scraper/run-sync": {
"post": {
"operationId": "run-sync-oguzcankaraman-workable-jobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"companies"
],
"properties": {
"companies": {
"title": "Companies",
"type": "array",
"description": "Workable account names (e.g. netguru) or career-site URLs (e.g. https://apply.workable.com/netguru/). One entry per company.",
"items": {
"type": "string"
}
},
"keyword": {
"title": "Keyword",
"type": "string",
"description": "Optional full-text search query applied on the Workable side (job title and description), e.g. engineer."
},
"location": {
"title": "Location filter",
"type": "string",
"description": "Optional case-insensitive filter matched against city, region, and country of each posting, e.g. Berlin, pl, remote."
},
"postedAfter": {
"title": "Posted after",
"pattern": "^\\d{4}-\\d{2}-\\d{2}$",
"type": "string",
"description": "Only include jobs published on or after this date (YYYY-MM-DD)."
},
"includeFullDescription": {
"title": "Include full description",
"type": "boolean",
"description": "Fetch the full job ad (description, requirements, benefits) for every posting. Enables salary parsing. Slightly slower because it makes one extra request per job.",
"default": true
},
"maxJobsPerCompany": {
"title": "Max jobs per company",
"minimum": 0,
"type": "integer",
"description": "Stop after this many jobs per company. Use 0 for unlimited.",
"default": 0
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```